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I saw that sometime dimensionality reduction procedures (for example: Principal Component Analysis) are used before classification and might help to improve the accuracy of the classifier. Are you pla…
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Look at:
- cancor, FactoMineR and CCP for canonical correlation
- high correlation
- random forests
- clusters for regions and all
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Hi,
I would to begin by thanking you for your tremendous work on this library.
I had a question regarding your [dimensionality_reduction.py](https://github.com/UKPLab/sentence-transformers/blob/m…
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2021/03/31 Claus Wilke
https://wilkelab.org/SDS375/slides/dimension-reduction-1.html#1
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I know we talked about this paper on zoom last time and you have it in your reference list.
[Xia, C. H., Ma, Z., Ciric, R., Gu, S., Betzel, R. F., Kaczkurkin, A. N., Calkins, M. E., Cook, P. A., Gar…
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This is great! How can one incorporate dimensionality reduction into the pipeline? For substantive and speed reasons, I'd like to exclude the most and least common words:
corpus = st.CorpusFromPand…
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Would be nice to have the following methods
- [x] PCA - [ml-pca](https://github.com/mljs/pca)
- [x] Singular Value Decomposition (SVD) - [ml-matrix](https://github.com/mljs/matrix/blob/master/src/dc…
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https://www.usna.edu/Users/cs/lmcdowel/pubs/UnderhillIRI2007Final.pdf